rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

Nannigalaxy

# Center Crop and Image Scaling functions in OpenCV
# Date: 11/10/2020
# Written by Nandan M

import cv2

def center_crop(img, dim):
	"""Returns center cropped image

	Args:

YashasSamaga

import cv2
import time

CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)]

class_names = []
with open("classes.txt", "r") as f:
    class_names = [cname.strip() for cname in f.readlines()]

samuelcolvin

from datetime import datetime
from time import sleep

from dnslib import DNSLabel, QTYPE, RD, RR
from dnslib import A, AAAA, CNAME, MX, NS, SOA, TXT
from dnslib.server import DNSServer

EPOCH = datetime(1970, 1, 1)
SERIAL = int((datetime.utcnow() - EPOCH).total_seconds())

nodkz

import express from 'express';
import { ApolloServer } from 'apollo-server-express';
import { ApolloServerPlugin } from 'apollo-server-plugin-base';
import * as Sentry from '@sentry/node';

Sentry.init({
  environment: process.env.APP_ENV,
  // see why we use APP_NAME here: https://github.com/getsentry/sentry-cli/issues/482
  release: `${process.env.APP_NAME}-${process.env.APP_REVISION}` || '0.0.1',
  dsn: process.env.SENTRY_DSN,